Extracting Biomedical Event Using Feature Selection and Word Representation
نویسندگان
چکیده
We participate in the BB3 and GE4 tasks of BioNLPST 2016. In the BB3 task, we adopt word representation methods to improve the feature-based Biomedical Event Extraction System, and take the 4th place. In the GE4 task, based on the Uturku system, a two-stage method is proposed for trigger detection, which divides trigger detection into recognition stage and classification stage, using different features in each stage. In the edge detection, we adopt Passiveaggressive (PA) online algorithm, then we constitute events by post-processing of TEES.
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